Semantic Scholar Open Access 2013 582 sitasi

Bilingual Word Embeddings for Phrase-Based Machine Translation

Will Y. Zou R. Socher Daniel Matthew Cer Christopher D. Manning

Abstrak

We introduce bilingual word embeddings: semantic embeddings associated across two languages in the context of neural language models. We propose a method to learn bilingual embeddings from a large unlabeled corpus, while utilizing MT word alignments to constrain translational equivalence. The new embeddings significantly out-perform baselines in word semantic similarity. A single semantic similarity feature induced with bilingual embeddings adds near half a BLEU point to the results of NIST08 Chinese-English machine translation task.

Topik & Kata Kunci

Computer Science

Penulis (4)

Will Y. Zou

R. Socher

Daniel Matthew Cer

Christopher D. Manning

Format Sitasi

APA MLA BibTeX

Zou, W.Y., Socher, R., Cer, D.M., Manning, C.D. (2013). Bilingual Word Embeddings for Phrase-Based Machine Translation. https://doi.org/10.18653/v1/d13-1141

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Informasi Jurnal

Tahun Terbit: 2013
Bahasa: en
Total Sitasi: 582×
Sumber Database: Semantic Scholar
DOI: 10.18653/v1/d13-1141
Akses: Open Access ✓